SentientX released the latest Human Identity Bank™, giving individuals greater control over their voice, likeness, image, video, and digital assets. The platform combines authenticity records, consent controls, licensing, monitoring, and enforcement to help protect identity ownership and authorized digital use.
— Deepfakes stopped being a novelty problem sometime in the last eighteen months. They’re now a line item on corporate risk registers and a documented cause of nine-figure fraud losses. Analysts who track this space professionally say most organizations are still structurally unprepared to handle it.
What the numbers say
Gartner’s research shows how quickly the problem has grown. A survey of 302 security leaders found that 62% of organizations experienced at least one deepfake related incident in the prior twelve months. Deloitte’s Center for Financial Services projects that generative AI enabled fraud could push U.S. losses to $40 billion by 2027, up from $12.3 billion in 2023. One of the most prominent cases involved Arup, the UK engineering firm whose Hong Kong staff wired $25.6 million after a video call in which the other participants were deepfakes.
Much of the problem extends beyond corporate fraud and onto social platforms, where public figures and creators are frequent targets. Resemble AI logged more than 2,000 verified deepfake incidents in the third quarter of 2025, with approximately 30% appearing on YouTube, 27% on Instagram, 19% on Facebook, and 18% on TikTok. Public figures were targeted in nearly half of documented incidents, while celebrity impersonation was used to establish credibility in 48% of U.S. cases. Common uses included fake giveaways, investment pitches, supplements, skincare, and consumer products. The same period included the unauthorized use of a voice actor’s cloned voice in advertising and an Indian court ruling that AI generated celebrity voice likenesses can violate personality rights.
Human detection remains unreliable. A peer reviewed meta analysis of 56 studies found average human deepfake detection accuracy of roughly 55%. McAfee’s 2026 State of the Scamiverse research found that Americans encounter about three deepfakes per day, while more than a third lack confidence in their ability to identify them. Detection technology also remains probabilistic, while the tools used to create synthetic media continue to evolve rapidly.
The legal response is developing alongside the technology. The federal TAKE IT DOWN Act, enforceable since May 2026, requires platforms to remove qualifying nonconsensual intimate imagery, including AI generated forgeries, within 48 hours after a valid request. The proposed NO FAKES Act would establish federal protections for digital replicas of a person’s voice and likeness. Both approaches rely on notice and takedown, meaning victims still have to find the content, establish the violation, and submit a request across the platforms where it appears.
A different approach: SentientX’s Human Identity Bank
That’s the gap Miami-based SentientX built its platform to address. The company’s flagship product, Human Identity Bank™, now in its third and most advanced release under the identient™ brand, functions as an end-to-end system of record for a person’s digital identity, rather than simply another deepfake detection tool.
Human Identity Bank operates across a person’s voice, video, likeness, and other digital assets through two primary layers.
The first establishes verified custody and control, creating an authenticated record of an individual’s identity and digital assets. An integrated licensing and consent framework allows individuals or their authorized representatives, including talent agencies, legal counsel, studios, brands, and enterprises, to define how those assets may be used, by whom, for how long, and under what terms, with the ability to revoke permissions when necessary. This shifts the question from whether a face or voice is genuine to whether its use was authorized.
The second layer extends that protection through continuous monitoring and enforcement, identifying potential unauthorized or synthetic uses across social networks and creating structured incident records when elevated risk is detected. These records preserve key evidence and provide a direct path from detection to review and potential takedown.
The company has filed 45 patents with the U.S. Patent and Trademark Office covering aspects of this architecture, with Polsinelli serving as intellectual property counsel.
“Detection alone was never going to solve this,” said Sayyed Nezhadi, SentientX’s Chief Technology Officer and Co Founder. “A classifier can tell you a video is probably fake. It can’t tell you whose likeness is in it, whether that person ever agreed to it, or what to do about it. So we started from the other end. Our registry lets anyone deposit a digital asset they own, whether that’s a musician’s voice, an executive’s likeness, or a digital artist’s work, an athletes digital assets, watermark it, and license it on their own terms. For identity, that’s a person’s voice, face, video and personalized digital assets. And from a small set of portraits, clips, and voice samples we build a profile that becomes the reference point for everything after that.
“From there the system works around the clock across social networks. Every post that involves that person gets checked three ways: is it actually them, has the media been manipulated or synthesized, and how much risk is it carrying based on what people are saying in the thread. Most of what we find is harmless, and the pipeline is built to clear that quickly and cheaply so the heavier analysis only runs where it matters. When something scores high, the person or agent is alerted, and if they decide to act, the platform drafts the takedown request for them in a click. The point isn’t to catch one fake. It’s to make sure someone is always watching, and that acting on it is never the hard part.”
Where this fits in the broader market
Much of the vendor activity in this space has focused on real-time authentication: determining whether the voice on an inbound call or the face in a video meeting belongs to a live person rather than a synthetic one. These systems protect enterprises during specific interactions within infrastructure they control, such as contact centers or conferencing platforms.
Human Identity Bank addresses a different and broader question: who controls a person’s identity wherever it appears? Its scope extends beyond individual interactions and closed enterprise environments to the open web, social platforms, and connected enterprise systems where unauthorized voice clones, deepfake videos, and likeness misuse can emerge and spread.
The distinction is between authenticating a person at a moment in time and establishing persistent control over that person’s identity over time. Gartner’s projection that roughly 30% of enterprises would stop trusting standalone identity verification by 2026 points to the growing limitations of authentication alone.
Whether this approach can operate effectively at scale across jurisdictions with different rules governing likeness rights, consent, and biometric data remains an open question for the broader market.
Learn more about identient™ and the Human Identity Bank™ platform at sentientx.com/identient. Email directly to contact@sentientx.com.
Human Identity Bank™ is a product of SentientX, Inc.
Contact Info:
Name: Madison Hollimon
Email: Send Email
Organization: SentientX
Website: https://www.sentientx.com
Release ID: 89202700
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